Skip to main content

Advertisement

Log in

Got Game? A Choice-Based Learning Assessment of Data Literacy and Visualization Skills

  • Published:
Technology, Knowledge and Learning Aims and scope Submit manuscript

Abstract

In partnership with both formal and informal learning institutions, researchers have been building a suite of online games, called choicelets, to serve as interactive assessments of learning skills, e.g. critical thinking or seeking feedback. Unlike more traditional assessments, which take a retrospective, knowledge-based view of learning, choicelets take a prospective, process-based view and focus on students’ choices as they attempt to solve a challenge. The multi-level challenges are designed to allow for players’ “free choice” as they explore and learn how to solve the challenge. The system provides them with various learning resources, and tracks whether, what, how, and when they choose to learn. This paper briefly describes a partner’s curriculum focused on data literacy and visualization, the design of a choice-based assessment for their program, and reports on an initial study of the curriculum and game with 10th grade biology students. Results are presented in the context of the design research questions: Do student choices in the game predict their learning from the game? Does the curriculum teach the students to choose more effectively with respect to data visualization? Future work for choice-based assessments is also discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  • Chi, M., Schwartz, D. L., Chin, D. B., & Blair, K. P. (2014). Choice-based assessment: Can choices made in digital games predict 6th-grade students’ math test scores? In Proceedings of the 7th international conference on educational data mining (pp. 36–43).

  • Conlin, L. D., Chin, D. B., Blair, K. P., Cutumisu, M., & Schwartz, D. L. (2015). Guardian angels of our better nature: Finding evidence of the benefits of design thinking. In Proceedings of the American Society for Engineering Education, June 2015, Seattle, WA.

  • Cutumisu, M., Blair, K. P., Chin, D. B., & Schwartz, D. L. (2015). Posterlet: A game-based assessment of children’s choices to seek feedback and to revise. Journal of Learning Analytics, 2(1), 49–71.

    Google Scholar 

  • Falk, J. J. H., & Dierking, L. L. D. (2002). Lessons without limit: How free-choice learning is transforming education. New York: Rowmand & Littlefield.

    Google Scholar 

  • Friedman, A. (Ed). (2008). Framework for evaluating impacts of informal science education projects. Arlington, VA: National Science Foundation. http://caise.insci.org/uploads/docs/Eval_Framework.pdf.

  • Garris, R., Ahlers, R., & Driskell, J. E. (2002). Games, motivation, and learning: A research and practice model. Simulation & Gaming, 33(4), 441–467.

    Article  Google Scholar 

  • Gee, J. P. (2003). What video games have to teach us about learning and literacy. Computers in Entertainment (CIE), 1(1), 20.

    Article  Google Scholar 

  • Ifenthaler, D., Eseryel, D., & Ge, X. (2012). Assessment for game-based learning (pp. 1–8). New York: Springer.

    Book  Google Scholar 

  • Klehe, U. C., & Anderson, N. (2007). Working hard and working smart: Motivation and ability during typical and maximum performance. Journal of Applied Psychology, 92(4), 978.

    Article  Google Scholar 

  • Mayo, M. J. (2009). Video games: A route to large-scale STEM education? Science, 323(5910), 79–82.

    Article  Google Scholar 

  • Mislevy, R. J. (2011). Evidence-centered design for simulation-based assessment (CRESST report 800). Los Angeles, CA: The National Center for Research on Evaluation, Standards, and Student Testing, University of California, Los Angeles. https://www.cse.ucla.edu/products/reports/R800.pdf.

  • Mislevy, R. J., Almond, R. G., & Lukas, J. F. (2003). A brief introduction to evidence‐centered design. ETS Research Report Series, 2003(1), pp. i-29.

  • National Governors Association Center for Best Practices & Council of Chief State School Officers. (2010). Common core state standards. Washington, DC: Authors.

    Google Scholar 

  • National Research Council. (2009). Learning science in informal environments: People, places, and pursuits. Committee on Learning Science in Informal Environments. In P. Bell, B. Lewenstein, A. W. Shouse & M. A. Feder (Eds.), Board on Science Education, Center for Education, Division of Behavioral and Social Sciences and Education. Washington, D.C.: The National Academies Press.

  • NGSS Lead States. (2013). Next generation science standards: For states, by states. Washington, DC: The National Academies Press.

    Google Scholar 

  • Sackett, P. R., Zedeck, S., & Fogli, L. (1988). Relations between measures of typical and maximum job performance. Journal of Applied Psychology, 73(3), 482.

    Article  Google Scholar 

  • Schwartz, D. L. & Arena, D. (2009). Choice-based assessments for the digital age. MacArthur 21st century learning and assessment project.

  • Schwartz, D. L., & Arena, D. (2013). Measuring what matters most: Choice-based assessments for the digital age. Cambridge, MA: MIT Press.

    Google Scholar 

  • Schwartz, D. L., Bransford, J. D., & Sear, D. (2005). Efficiency and innovation in transfer. In J. P. Mestre (Ed.), Transfer of learning from a modern multidisciplinary perspective (pp. 1–51). Greenwich, CT: IAP.

    Google Scholar 

  • Semmens, R., Blair, K. P., & Schwartz, D. L. (2015). How sick is that doggie in the window? Game choices correlate to academic performance. Manuscript in preparation.

  • Shute, V. J. (2011). Stealth assessment in computer-based games to support learning. Computer Games and Instruction, 55(2), 503–524.

    Google Scholar 

  • Shute, V. J., Ventura, M., Bauer, M. I., & Zapata-Rivera, D. (2009). Melding the power of serious games and embedded assessment to monitor and foster learning: Flow and grow. In U. Ritterfeld, M. Cody & P. Vorderer, P. (Eds.), Serious games: Mechanisms and effects (pp. 295–321). New York: Routledge.

    Google Scholar 

  • Shute, V. J., D’Mello, S. K., Baker, R., Cho, K., Bosch, N., Ocumpaugh, J., et al. (2015). Modeling how incoming knowledge, persistence, affective states, and in-game progress influence student learning from an educational game. Computers & Education, 86, 224–235.

    Article  Google Scholar 

  • Van Eck, R. (2006). Digital game-based learning: It’s not just the digital natives who are restless. EDUCAUSE Review, 41(2), 16.

    Google Scholar 

Download references

Acknowledgments

This material is based upon work supported by the National Science Foundation under Grant Numbers 0904324 and 1228831, the John D. and Catherine T. MacArthur Foundation, and the Gordon and Betty Moore Foundation. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the granting agencies. The authors would like to thank Jacob Haigh and Neil Levine for their key contributions in the development of the assessment game, as well as Rochelle Urban and Megan Schufreider for their work on the pilot curriculum and study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Doris B. Chin.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chin, D.B., Blair, K.P. & Schwartz, D.L. Got Game? A Choice-Based Learning Assessment of Data Literacy and Visualization Skills. Tech Know Learn 21, 195–210 (2016). https://doi.org/10.1007/s10758-016-9279-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10758-016-9279-7

Keywords